From Weekly Newspapers to Online Dailies: The Transformation of Canada's Community Press
Bibliographic record
Abstract
The speed, scope and scale by which information is transmitted have contributed to a monumental shift in the way community newsrooms operate.The Internet has given Canada's community newspapers the ability to publish online as quickly as their daily and broadcast counterparts, providing both opportunities and challenges.This study investigates how community newsrooms are adapting to a digital environment, examines media response to technological change, and assesses the long-term viability of community newspapers via an analysis of structural trends at a time when newspapers are forced to once again renegotiate their place within the evolving networked news ecology.This is, after all, not the first time newspapers have faced a socalled disruptive technology.Radio did not kill newspapers, nor will the Internet.Canada's community newspapers have a viable future, but only if there is a return to the core mandate of the weekly press, which requires meaningful investment in a multimedia newsroom.A heartfelt thank you goes out to my thesis supervisor, Klaus Pohle, for his guidance and support as I found myself juggling my career, significant life events and this project simultaneously.His assistance and patience are deeply appreciated and I am grateful for his encouragement and wisdom along the way.My sincere thanks to
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".